The Relationship between Personality Traits and Psychological Resilience among the Caribbean Adolescents
Bibliographic record
Abstract
This cross-sectional study investigated the relationships between the big five personality traits:(conscientiousness, agreeableness, neuroticism, openness to experience, extraversion) and psychologicalresilience among 397 Caribbean secondary school adolescents. Pearson Product Moment Correlation andStepwise Multiple Regressions were conducted to analyse the data. Results revealed statistically significantpositive relationships between the personality traits (conscientiousness, agreeableness, openness to experience,extraversion) and psychological resilience, while neuroticism was negatively correlated with psychologicalresilience. The personality traits also jointly contributed 32% (R square = 0.324) of the variance being accountedfor in psychological resilience and this was found to be statistically significant with conscientiousness being thebest predictor while agreeableness, neuroticism and openness to experience were other significant predictors,however, extraversion did not contribute significantly. These results are discussed in the light of healthypersonality beefing up and promoting adolescents’ psychological resilience.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".